IBM Journey to AI blog

DECEMBER 20, 2023

Supervised machine learning Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset (i.e., Classification algorithms —predict categorical output variables (e.g., “junk” or “not junk”) by labeling pieces of input data.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Pickl AI

JANUARY 29, 2024

Key Components In Data Science, key components include data cleaning, Exploratory Data Analysis, and model building using statistical techniques. ML focuses on algorithms like decision trees, neural networks, and support vector machines for pattern recognition. over the specified period.

Data Science 52

Data Science ML ML Machine Learning 52

Heartbeat

SEPTEMBER 28, 2023

Hands-on Project Why customer churn matters and how to predict it with machine learning, explained step-by-step Photo by Gabrielle Ribeiro on Unsplash Introduction In today’s competitive business environment, retaining customers is essential to a company’s success. Support Vector Machine (svm): Versatile model for linear and non-linear data.

Machine Learning 52

Machine Learning Machine Learning Support Vector Machines ML 52

Heartbeat

MARCH 6, 2024

I will start by looking at the data distribution, followed by the relationship between the target variable and independent variables. We're committed to supporting and inspiring developers and engineers from all walks of life. replace(0,df[i].mean(),inplace=True) We pay our contributors, and we don't sell ads.

Exploratory Data Analysis 52

Exploratory Data Analysis Support Vector Machines Data Analysis Data Analysis 52

Pickl AI

FEBRUARY 12, 2024

Data Science interviews are pivotal moments in the career trajectory of any aspiring data scientist. Having the knowledge about the data science interview questions will help you crack the interview. Supervised learning algorithms learn from labelled data, where each input is associated with a corresponding output label.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

Pickl AI

JULY 12, 2024

Data Normalization and Standardization: Scaling numerical data to a standard range to ensure fairness in model training. Exploratory Data Analysis (EDA) EDA is a crucial preliminary step in understanding the characteristics of the dataset. classification, regression) and data characteristics.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Python Natural Language Processing 52

Pickl AI

SEPTEMBER 12, 2024

Data Science is the art and science of extracting valuable information from data. It encompasses data collection, cleaning, analysis, and interpretation to uncover patterns, trends, and insights that can drive decision-making and innovation.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52